Privacy and Security in Internet of Things and Wearable Devices
Open accessAbstract
Enter the nascent era of Internet of Things (IoT) and wearable devices, where small embedded devices loaded with sensors collect information from its surroundings, process it, and relay it to remote locations for further analysis. Albeit looking harmless, these nascent technologies raise security and privacy concerns. We pose the question of the possibility and effects of compromising such devices. Concentrating on the design flow of IoT and wearable devices, we discuss some common design practices and their implications on security and privacy. Two representatives from each category, the Google Nest Thermostat and the Nike+ Fuelband, are selected as examples on how current industry practices of security as an afterthought or an add-on affect the resulting device and the potential consequences to the user's security and privacy. We then discuss design flow enhancements, through which security mechanisms can efficiently be added into a device, vastly differing from traditional practices.
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Protecting personal health data is a major barrier to using AI and edge computing to predict health outcomes in advance.
“Protecting personal health data is a major barrier to using AI and edge computing to predict health outcomes in advance.”
From Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions (2023) · cites this paper as [94]
With the proliferation of wearable devices and other connected technologies, there are growing concerns about the security, privacy, and protection of personal health data.
“With the proliferation of wearable devices and other connected technologies, there are growing concerns about the security, privacy, and protection of personal health data [93,94].”
From Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions (2023) · cites this paper as [94]
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- Authors
- Arias, O., Wurm, J., Hoang, K., & Jin, Y.
- Affiliations
- University of Central Florida (US)
- Venue
- IEEE Transactions on Multi-Scale Computing Systems
- Published
- 2015-04-01
- Volume
- 1
- Issue
- 2
- Pages
- 99-109
- ISSN
- 2332-7766 (ISSN-L)
- OpenAlex
- W2212111137
- Cited by
- 337
- References
- 14
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 27 · 2023: 35 · 2022: 37 · 2021: 47 · 2020: 49 · 2019: 37 · 2018: 36 · 2017: 30 · 2016: 10
- FWCI
- 28.95
- Type
- journal article
- Language
- en
- Open access
- Locations
- IEEE Transactions on Multi-Scale Computing Systems (publishedVersion)
- Journal of International Crisis and Risk Communication Research (submittedVersion)
- Funders
- US National Science Foundation (NSF) (CNS-1319105)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
- Keywords
- Internet of Things security, wearable devices, privacy, embedded devices, sensors, security by design, design flow, security mechanisms
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